https://catazenta.com/resources/blog Articles on product data, catalog quality, AI agents and selling on more channels. en-us Mon, 21 Sep 2026 00:00:00 GMT https://catazenta.com/resources/blog/acp-ucp-death-of-product-page https://catazenta.com/resources/blog/acp-ucp-death-of-product-page Tue, 26 May 2026 00:00:00 GMT ACP and UCP let AI agents check out on a buyer’s behalf, and agents compare products on structured data. What a buyer’s agent reads, and what your catalog has to hold. AI discovery Product data https://catazenta.com/resources/blog/agentic-ai-pim-architecture-not-feature https://catazenta.com/resources/blog/agentic-ai-pim-architecture-not-feature Tue, 26 May 2026 00:00:00 GMT A copilot inside a PIM is a feature. A PIM is agentic when outside AI systems can call it, work runs without a person at each step, and approvals and permissions come first. AI agents Choosing a PIM https://catazenta.com/resources/blog/digital-product-passports-readiness https://catazenta.com/resources/blog/digital-product-passports-readiness Tue, 26 May 2026 00:00:00 GMT A Digital Product Passport is a structured data record, not a label. It has to be machine-readable, kept current and readable by other systems. Many catalogs aren’t built that way. Compliance Product data https://catazenta.com/resources/blog/how-to-evaluate-pim-2026 https://catazenta.com/resources/blog/how-to-evaluate-pim-2026 Tue, 26 May 2026 00:00:00 GMT Feature checklists and demo screens don’t show how a PIM behaves on your catalog. Six areas to test, eight scenarios to run on your data, and the costs a quote leaves out. Choosing a PIM AI agents https://catazenta.com/resources/blog/product-data-not-ai-ready https://catazenta.com/resources/blog/product-data-not-ai-ready Tue, 26 May 2026 00:00:00 GMT AI systems compare typed attributes, not marketing copy. What AI-ready product data means, and what the gap costs in rejected listings, weak AI drafts and missed comparisons. Product data AI discovery https://catazenta.com/resources/blog/supplier-sends-excel-47-tabs https://catazenta.com/resources/blog/supplier-sends-excel-47-tabs Sun, 24 May 2026 00:00:00 GMT Supplier data cleanup is real work that nobody prices. What the hours cost, why better templates don’t fix it, and what a pipeline can take over. Supplier data Catalog quality https://catazenta.com/resources/blog/ai-generated-10000-product-descriptions https://catazenta.com/resources/blog/ai-generated-10000-product-descriptions Fri, 22 May 2026 00:00:00 GMT Generating product copy with AI is easy. The work starts after: checking 10,000 descriptions for accuracy, holding one voice, and keeping every channel on the same version. AI agents Catalog quality https://catazenta.com/resources/blog/pim-vs-mdm-vs-dam-what-you-need https://catazenta.com/resources/blog/pim-vs-mdm-vs-dam-what-you-need Wed, 20 May 2026 00:00:00 GMT PIM, MDM, and DAM aren’t competing tools. Each solves a different problem at a different layer. How to tell which ones you need, and what AI agents need from the product record. Choosing a PIM Product data https://catazenta.com/resources/blog/composable-commerce-where-pim-fits https://catazenta.com/resources/blog/composable-commerce-where-pim-fits Mon, 18 May 2026 00:00:00 GMT Composable commerce splits the stack. Product values still need one place that fills them in, checks them and hands each channel its own version. Where the PIM sits. Choosing a PIM Multichannel https://catazenta.com/resources/blog/product-data-seo-ai-search-visibility https://catazenta.com/resources/blog/product-data-seo-ai-search-visibility Sat, 16 May 2026 00:00:00 GMT Organic search still matters. More discovery now runs through feeds, comparisons and AI answers, and those read the product record: typed, consistent and current. AI discovery Product data https://catazenta.com/resources/blog/time-to-market-and-product-data https://catazenta.com/resources/blog/time-to-market-and-product-data Sat, 16 May 2026 00:00:00 GMT Between “in the warehouse” and “on sale everywhere” sit missing attributes, hand-written copy, approval queues and channel rejections. Where each step stalls, and why. Multichannel Catalog quality https://catazenta.com/resources/blog/multi-brand-catalog-governance https://catazenta.com/resources/blog/multi-brand-catalog-governance Thu, 14 May 2026 00:00:00 GMT Two setups are common: a PIM instance per brand, or every brand in one shared system. One multiplies infrastructure, the other mixes brand data. What a third option has to do. Choosing a PIM Product data https://catazenta.com/resources/blog/multichannel-single-source-of-truth https://catazenta.com/resources/blog/multichannel-single-source-of-truth Tue, 12 May 2026 00:00:00 GMT One database doesn’t stop copies drifting. What stops it: one place that accepts writes, checks before a push, and a version of the record shaped for each channel. Multichannel Product data https://catazenta.com/resources/blog/catalog-completeness https://catazenta.com/resources/blog/catalog-completeness Sun, 10 May 2026 00:00:00 GMT A completeness percentage counts filled fields. It doesn’t say whether a marketplace will accept the listing, or whether AI and shopping agents have enough to work from. Catalog quality Multichannel https://catazenta.com/resources/blog/product-data-foundation-for-ai-commerce https://catazenta.com/resources/blog/product-data-foundation-for-ai-commerce Sun, 10 May 2026 00:00:00 GMT AI search, shopping agents and enrichment runs all read your product records. What an agent actually reads, and what the record needs: types, checks and a history. Product data AI agents